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    Software Engineering With Python Master Class

    Posted By: ELK1nG
    Software Engineering With Python Master Class

    Software Engineering With Python Master Class
    Published 3/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 18.86 GB | Duration: 44h 22m

    Learn and completely Master Software Engineering With Python

    What you'll learn

    Learn and completely Master Software Engineering With Python

    Learn and completely master Python Programming

    Learn and completely master SQL

    Become a Professional, Expert Software Engineer With Python

    Learn every Aspect and Facet of Software Engineering with Python

    Learn Everything about Github

    Requirements

    None. Everything is included in this course, from the basics to the Very Highly Advanced Levels.

    Description

    With this complete hands-on course, you will become an Expert Software Engineer with Python At The Highest Skill Level even with no prior programming experience.Software Engineering With Python Section:In this 40-hour section, we will start by learning the basics of Python such as variables, strings, Booleans, lists, tuples, dictionaries, generators, and so on as well as learning to write the first service test. Furthermore, you will learn to send requests in Python and understand how to modify permissions. You will also be able to explore Docker and SQL and learn to set up a local PostgreSQL Server. You will learn how to create tables using query results.Moving further in the course, you will learn to integrate databases into your application and create database models in Python. You will be introduced to Redis and learn data compression. You will also get to know how to set up a GitHub desktop, and clone a repository as well as GitHub CLI. You will wrap up the course by having a look at threading in Python, multiprocessing pool, and async wait statements.By the end of this course, you will be an Expert in developing Professional Applications with Python, have a solid portfolio, and be ready to apply for Software Engineer positions and ACE those technical interviews and start your HIGHLY Paid Lifetime Career As a Software Engineer With Python Programming At The Highest Skill Level.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Setting Up Your Coding Environment

    Lecture 3 Installing Python

    Lecture 4 Writing Your First Program With Python

    Lecture 5 Variables In Python

    Lecture 6 Strings In Python

    Lecture 7 Integers, Floats, and Type Casting In Python

    Lecture 8 Booleans and Boolean Operations In Python

    Lecture 9 ‘None’ Types In Python

    Lecture 10 Lists In Python

    Lecture 11 Tuples In Python

    Lecture 12 Dictionaries In Python

    Lecture 13 Formatting Strings and Writing Comments In Python

    Lecture 14 If Statements In Python

    Lecture 15 Elif and Else Statements In Python

    Lecture 16 ‘For’ Loops In Python

    Lecture 17 While Loops In Python

    Lecture 18 Functions In Python

    Lecture 19 Function Parameters In Python

    Lecture 20 Global Variables In Python

    Lecture 21 File Handling In Python

    Lecture 22 Virtual Environments in Python.

    Lecture 23 Launching Your First Application In Python

    Lecture 24 Classes In Python

    Lecture 25 Classes Inheritance In Python

    Lecture 26 Decorators In Python

    Lecture 27 Generators In Python

    Lecture 28 JSON and Text Response

    Lecture 29 Typing In Python

    Lecture 30 Response Models In Python

    Lecture 31 Expanded Field Information In Python

    Lecture 32 Path Parameters In Python

    Lecture 33 Request Bodies in Python

    Lecture 34 Query Parameters In Python

    Lecture 35 Put and Delete in Python

    Lecture 36 Docstrings in Python

    Lecture 37 Async Functions in Python

    Lecture 38 Directory Structure In Python

    Lecture 39 API Routers in Python Continued

    Lecture 40 Environment Variables In Python

    Lecture 41 HTTP Status Codes in Python

    Lecture 42 Exceptions in Python

    Lecture 43 Logging

    Lecture 44 Logging Formatter

    Lecture 45 Custom Exception Handlers in Python

    Lecture 46 Headers and Dependencies

    Lecture 47 Writing Your First Service Test With Python

    Lecture 48 Fixtures In Python

    Section 2: Testing With Python

    Lecture 49 Pytest Introduction

    Lecture 50 Writing Your First Service Test With Python

    Lecture 51 Fixtures In Python

    Lecture 52 Integration Tests With Python

    Lecture 53 Testing for Exceptions With Python

    Lecture 54 Sending Requests in Python

    Lecture 55 Sending Async Requests With Python

    Lecture 56 Testing Synchronous Requests With Python

    Lecture 57 Testing Async Requests With Python

    Lecture 58 Test Coverage With Python

    Lecture 59 MyPy Part 2

    Section 3: Introduction To The Terminal

    Lecture 60 Digital Ocean Setup

    Lecture 61 SSH on Windows

    Lecture 62 Connecting with SSH

    Lecture 63 Basic Navigation

    Lecture 64 Creating Folders

    Lecture 65 Creating Files

    Lecture 66 Removing Folders and Files

    Lecture 67 Moving, Renaming, and Copying Files and Folders

    Lecture 68 Environment Variables

    Lecture 69 Piping and Redirecting

    Lecture 70 Super User and Running Pythons Scripts

    Lecture 71 Executables and Modifying Permissions

    Lecture 72 Sending Requests

    Section 4: Docker Section

    Lecture 73 Docker Introduction

    Lecture 74 Creating a Dockerfile

    Lecture 75 Multistage Build

    Lecture 76 Makefile

    Section 5: SQL

    Lecture 77 Introduction to Relational Databases

    Lecture 78 Data Types and Schemas

    Lecture 79 [Mac] Setting Up a Local PostgreSQL Server

    Lecture 80 [Windows] Setting Up a Local PostgreSQL Server

    Lecture 81 [Mac] SQL Editor Postico

    Lecture 82 SQL Editor DataGrip

    Lecture 83 SQL Editor CLI

    Lecture 84 Creating and Removing a Database

    Lecture 85 Creating Schemas

    Lecture 86 Creating Tables

    Lecture 87 Altering Tables

    Lecture 88 Enumerated Types

    Lecture 89 Inserting Values

    Lecture 90 Running an SQL Script

    Lecture 91 Reading Data

    Lecture 92 Creating Tables Using Query Results

    Lecture 93 Aliases and Ordering

    Lecture 94 Conditional Filtering Direct Comparisons

    Lecture 95 Conditional Filtering Grouped Comparisons

    Lecture 96 Joining Conditionals

    Lecture 97 Filtering Null Values

    Lecture 98 Creating New Columns and Arithmetic

    Lecture 99 Datatype Conversions

    Lecture 100 Logic Statements

    Lecture 101 Manipulating Strings

    Lecture 102 String Positional Information

    Lecture 103 String Subsets and Concatenations

    Lecture 104 String Replacements

    Lecture 105 Date and Time

    Lecture 106 Date and Time Intervals

    Lecture 107 Comments in SQL

    Lecture 108 Aggregation Functions

    Lecture 109 Grouping and Filtering Aggregations

    Lecture 110 Inner Join

    Lecture 111 Left, Right, and Outer Joins

    Lecture 112 Self Joins

    Lecture 113 Unions

    Lecture 114 Subqueries

    Lecture 115 Common Table Expression (CTEs)

    Lecture 116 Window Functions and Aliases

    Lecture 117 Row Numbers and Ranks

    Lecture 118 Using Other Rows with Window Functions

    Lecture 119 NTiles

    Section 6: Integrating Databases into Your Application

    Lecture 120 Adding Postgres to Your Docker Compose

    Lecture 121 Creating Database Models in Python

    Lecture 122 Database Migrations

    Lecture 123 SQLAlchemy ORM Introduction

    Lecture 124 Creating a Database Client

    Lecture 125 Updating Our Application to Read from the Database

    Lecture 126 Database Inserts

    Lecture 127 Database Updates

    Lecture 128 Database Deletes

    Lecture 129 Async Database Queries

    Lecture 130 Async Updates

    Lecture 131 Updating Unit Tests to Work with the Database

    Lecture 132 Updating Integration Tests to Work with the Database

    Lecture 133 SQLite for Testing

    Lecture 134 Mocking

    Section 7: Caching

    Lecture 135 Redis Introduction

    Lecture 136 Adding Caching to Your Application

    Lecture 137 Redis Hash Introduction

    Lecture 138 Redis Sets Introduction

    Lecture 139 Adding Hash Caching to Pagination Endpoint

    Lecture 140 Python Object Serialization

    Lecture 141 Cache Flushing

    Lecture 142 Data Compression

    Section 8: Linting

    Lecture 143 MyPy Configurations

    Lecture 144 Import Sorting

    Lecture 145 Automatic Code Formatting

    Lecture 146 Additional Code Checking

    Section 9: Github

    Lecture 147 GitHub Credentials Setup

    Lecture 148 GitHub Desktop Setup

    Lecture 149 Cloning a Repository

    Lecture 150 Pushing a Local Repository to GitHub

    Lecture 151 Reverting and Squashing Commits

    Lecture 152 GitHub Branches

    Lecture 153 Pull Request

    Lecture 154 Precommit Hooks

    Lecture 155 GitHub CLI

    Lecture 156 Tagged Release

    Section 10: Concurrent and Parallel Programming

    Lecture 157 Intro.

    Lecture 158 Threading in Python

    Lecture 159 Creating a Threading Class

    Lecture 160 Creating a Wikipedia Reader

    Lecture 161 Creating a Yahoo Finance Reader

    Lecture 162 Queues and Master Scheduler

    Lecture 163 Creating a Postgres Worker

    Lecture 164 Integrating the Postgres Worker

    Lecture 165 Yaml File Introduction

    Lecture 166 Creating a Yaml Reader

    Lecture 167 Improving Your Wiki Worker

    Lecture 168 Improving All Workers and Adding Monitoring

    Lecture 169 Final Program Clean-Up

    Lecture 170 Locking

    Lecture 171 Multiprocessing Introduction

    Lecture 172 Multiprocessing Queues

    Lecture 173 Multiprocessing Pool

    Lecture 174 Multiprocessing Pool Map Multiple Arguments

    Lecture 175 Multiprocessing Multiple Varying Arguments

    Lecture 176 Multiprocessing Checking Elements in List in Certain Ranges

    Lecture 177 Introduction to Writing Asynchronous Programs

    Lecture 178 Asynchronous Tasks

    Lecture 179 Async Gather Method

    Lecture 180 Using Async Timeouts

    Lecture 181 Creating Asynchronous ‘For’ Loops

    Lecture 182 Using Asynchronous Libraries

    Lecture 183 The Async Wait Statement

    Lecture 184 Combining Async and Multiprocessing

    Section 11: Advanced SQL Super Section

    Lecture 185 Conditional Filtering Direct Comparisons

    Lecture 186 Conditional Filtering Grouped Comparisons Advanced

    Lecture 187 Joining Conditionals Advanced

    Lecture 188 Negating Conditionals Advanced

    Lecture 189 Filtering Null Values Advanced

    Lecture 190 Creating New Columns and Arithmetic Advanced

    Lecture 191 Datatype Conversions Advanced

    Lecture 192 Logic Statements Advanced

    Section 12: Dates, Times, and Manipulating Data Advanced Section

    Lecture 193 Manipulating Strings Advanced

    Lecture 194 Advanced String Positional Information

    Lecture 195 Advanced String Subsets and Concatenations

    Lecture 196 String Replacements Advanced

    Lecture 197 Date and Time Advanced

    Lecture 198 Advanced Date and Time Intervals

    Lecture 199 Comments Advanced

    Lecture 200 Advanced Aggregation Functions

    Lecture 201 Grouping and Filtering Aggregations Advanced

    Section 13: Joins, Unions, and Subqueries

    Lecture 202 Inner Joins Advanced

    Lecture 203 Advanced Left, Right, and Outer Joins

    Lecture 204 Self Joins Advanced

    Lecture 205 Advanced Unions

    Lecture 206 Subqueries Advanced

    Lecture 207 CTEs Advanced

    Section 14: Advanced Window Functions

    Lecture 208 Advanced Window Functions and Aliases

    Lecture 209 Row Numbers and Ranks Advanced

    Lecture 210 Using Other Rows with Window Functions Advanced

    Lecture 211 Advanced NTiles

    Lecture 212 Understanding Query Performance Advanced

    Anyone serious about learning and completely mastering Software Engineering With Python,Anyone wanting to Completely Learn and Master SQL.